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Bayesian Versus Orthodox Statistics: Which Side Are You On?
Open accessAbstract
Researchers are often confused about what can be inferred from significance tests. One problem occurs when people apply Bayesian intuitions to significance testing—two approaches that must be firmly separated. This article presents some common situations in which the approaches come to different conclusions; you can see where your intuitions initially lie. The situations include multiple testing, deciding when to stop running participants, and when a theory was thought of relative to finding out results. The interpretation of nonsignificant results has also been persistently problematic in a way that Bayesian inference can clarify. The Bayesian and orthodox approaches are placed in the context of different notions of rationality, and I accuse myself and others as having been irrational in the way we have been using statistics on a key notion of rationality. The reader is shown how to apply Bayesian inference in practice, using free online software, to allow more coherent inferences from data.
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“In terms of statistics, a Bayesian approach might be more appropriate than Fisherian statistics [56] as the Fisher approach is not appropriate with limited data [48].”
From Agile science: creating useful products for behavior change in the real world (2016) · cites this paper as [56]
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“For this reason, sooner or later, you are guaranteed to get a significant result if you run subjects long enough and stop when you get the p value you want (e.g., Wagenmakers, 2007).”
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Identifying Complex Dynamics in Social Systems
Spaiser, V., Hedström, P., Ranganathan, S., Jansson, K., Nordvik, M. K., & Sumpter, D. J. T. (2016) · Sociological Methods & Research · doi:10.1177/0049124116626174 · Cited by 22
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Barone, L., & Carone, N. (2020) · Attachment & Human Development · doi:10.1080/14616734.2020.1738510 · Cited by 24
“Comparisons were made using both traditional null-hypothesis significance testing (NHST) and Bayesian analysis, as the latter allows for a more robust examination of the null hypothesis (Dienes, 2011).”
BackgroundMethodInfluentialGoller, F., Schoeberl, T., & Ulrich Ansorge, A. (2020) · Psychophysiology · doi:10.1111/psyp.13655 · Cited by 23
Overlapping neural representations for the position of visible and imagined objects
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“For statistical testing, we used Bayes factors as implemented in the R package BayesFactor (Morey & Rouder, 2015), a Bayesian equivalent of paired t tests (Dienes, 2011; Rouder et al., 2009).”
MethodExamining the effect of Libet clock stimulus parameters on temporal binding
Ivanof, B. E., Terhune, D. B., Coyle, D., Gottero, M., & Moore, J. W. (2021) · Psychological Research · doi:10.1007/s00426-021-01546-x · Cited by 22
“Following convention, we interpreted BFs greater than 3 as providing moderate (or greater) evidence for the alternative hypothesis, less than 0.33 as moderate evidence for the null hypothesis, and between 0.33 and 3 as insensitive evidence (Dienes, 2011; Jeffreys, 1961).”
MethodInfluentialA novel experimental approach to study disobedience to authority
Caspar, É. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-02334-8 · Cited by 24
Fact or fiction: reducing the proportion and impact of false positives
Stahl, D. R., & Pickles, A. R. (2017) · Psychological Medicine · doi:10.1017/s003329171700294x · Cited by 23
Attentional influences on memory formation: A tale of a not-so-simple story
Ortiz-Tudela, J., Milliken, B., Jiménez, L., & Lupiáñez, J. (2018) · Memory & Cognition · doi:10.3758/s13421-017-0784-2 · Cited by 22
Best, M., Barsalou, L. W., & Papies, E. K. (2018) · Appetite · doi:10.1016/j.appet.2018.06.001 · Cited by 27
“…testing is the Bayes factor, which quantifies the relative plausibility of the data under two competing hypotheses (for overviews, see e.g. Dienes, 2011, 2014, 2016; Kruschke & Liddell, 2017; Jarosz & Wiley, 2014; Morey & Rouder, 2011; Rouder & Morey, 2012; Rouder, Speckman, Sun, Morey, &…”
Response Modality and the Stroop Task
Parris, B. A., Sharma, D., Weekes, B., Momenian, M., Augustinova, M., & Ferrand, L. (2019) · Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) · doi:10.1027/1618-3169/a000459 · Cited by 24
Campana, G., Maniglia, M., & Pavan, A. (2013) · Cortex · doi:10.1016/j.cortex.2013.07.001 · Cited by 22
Pilacinski, A., & Lindner, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-39188-0 · Cited by 21
Beyond the death drive: Entropy and free energy
Rabeyron, T. (2021) · The International Journal of Psychoanalysis · doi:10.1080/00207578.2021.1932514 · Cited by 23
“They take account of previous knowledge, which distinguishes them from frequentist statistics (Dienes 2011).”
BackgroundCsala, B., Szemerszky, R., Körmendi, J., Köteles, F. G., & Boros, S. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.702793 · Cited by 21
Inferential Statistics Is an Unfit Tool for Interpreting Data
Sand, A. (2022) · Applied Sciences · doi:10.3390/app12157691 · Cited by 31
Bertolini, R., Finch, S. J., & Nehm, R. H. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1073829 · Cited by 29
“Within this statistical framework, the data models are defined explicitly using intuitive notions and knowledge about the relationships between different features and their distributions (Dienes, 2011; Kruschke, 2011b) via expert elicitation, knowledge, and experimental findings to inform priors for Bayesian statistic…”
MethodUnconscious associative learning with conscious cues
Alamia, A., de Xivry, J. O., Anton, E. S., Olivier, E., Axel Cleeremans, B., & Zénon, A. (2016) · Neuroscience of Consciousness · doi:10.1093/nc/niw016 · Cited by 25
“Regarding the sensitivity criterion, our Bayesian approach made it possible to convincingly conclude [BF > 30 (Dienes, 2011)] that our null findings can be interpreted as offering support for the absence of differences rather than as resulting from a lack of sensitivity (Vadillo et al.”
BackgroundHeidekum, A. E., Grabner, R. H., Smedt, B. D., Visscher, A. D., & Vogel, S. (2019) · Cortex · doi:10.1016/j.cortex.2019.06.007 · Cited by 20
“Furthermore, bayesian analysis has the advantage of mitigating the multiple comparisons problem because there is no need to correct for multiple testing (Dienes, 2011).”
BackgroundConci, M., Kreyenmeier, P., Kröll, L., Spiech, C., & Müller, H. J. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-021-01957-2 · Cited by 20
“…with which the alternative hypothesis is favored over the null hypothesis: larger BF10 values argue in favor of the alternative hypothesis, with values above 3 denoting “substantial evidence” in favor of the alternative hypothesis; values less than 1 favor the null hypothesis; see Dienes (2011).”
BackgroundDoes visuomotor adaptation contribute to illusion-resistant grasping?
Cesanek, E., Campagnoli, C., Taylor, J. A., & Fulvio Domini, A. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1368-7 · Cited by 21
“…that the perceptually equalized phase would produce a mean illusion effect onMGA that was 422% of the mean illusion effect on MGA found during illusion-adaptation ****Half of model-predicted mean was used as standard deviation based on a suggestion by Dienes (2011) keypad held in the left hand.”
MethodAcunzo, D., Cardeña, E., & Terhune, D. B. (2020) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2020.1715932 · Cited by 23
“BFs below 0.33 and above 3 were interpreted as moderate evidence for the null and alternative hypotheses respectively, whereas BFs between these values were interpreted as inconclusive evidence (Dienes, 2011; Jeffreys, 1961).”
BackgroundResultInfluentialIs it me? Self-recognition bias across sensory modalities and its relationship to autistic traits
Chakraborty, A., & Chakrabarti, B. (2015) · Molecular Autism · doi:10.1186/s13229-015-0016-1 · Cited by 20
How we can change your mind: Anodal tDCS to Fp3 alters human stimulus representation and learning
Civile, C., McLaren, R., & McLaren, I. P. L. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.08.019 · Cited by 20
“Using the procedure outlined by Dienes (2011), we first conducted a Bayes analysis on the Face Orientation by Stimulation interaction found in both Experiment 1 and 2.”
MethodJaccard, J. J., & Bo, A. (2018) · Journal of the Society for Social Work and Research · doi:10.1086/701388 · Cited by 20
“Evaluators can introduce controls for multiplicity of contrasts, but doing so is controversial (Dienes, 2011).”
BackgroundAn Introduction to Calculating Bayes Factors in JASP for Speech, Language, and Hearing Research
Brydges, C. R., & Gaeta, L. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2019_jslhr-h-19-0183 · Cited by 21
Implicit learning of mappings between forms and metaphorical meanings
Li, F., Guo, X., Zhu, L., Yang, Z., & Dienes, Z. P. (2013) · Consciousness and Cognition · doi:10.1016/j.concog.2012.11.011 · Cited by 20
“The zero-correlation criterion (Dienes & Berry, 1997) posits that knowledge is unconscious when there is a lack of correlation between confidence and accuracy. The guessing criterion (Cheesman & Merikle, 1984) states that if people perform above chance when they believe they are guessing, the knowledge is unconscious.…”
InfluentialSelf-citationUnconsciously learning task-irrelevant perceptual sequences
Guo, X., Jiang, S., Wang, H., Zhu, L., Tang, J., Dienes, Z. P., & Yang, Z. (2013) · Consciousness and Cognition · doi:10.1016/j.concog.2012.12.001 · Cited by 20
“With this assumption the Bayes Factor (using the online calculator for the website for Dienes 2008) was 0.85.”
InfluentialSelf-citationMatejko, A. A., & Ansari, D. (2017) · Human Brain Mapping · doi:10.1002/hbm.23640 · Cited by 21
“Frequentists statistics concerns the probability of data given a theory, whereas Bayesian statistics concerns the probability of a theory given the data [Dienes, 2011].”
BackgroundGreber, M., Rogenmoser, L., Elmer, S., & Jäncke, L. (2018) · eNeuro · doi:10.1523/eneuro.0333-18.2018 · Cited by 21
“Contrary to NHST, Bayes factors allow such conclusions on whether the evidence supports H0, the evidence supports H1, or the evidence is ambiguous (Rouder et al., 2009; Dienes, 2011, 2014; Lee and Wagenmakers, 2013).”
ResultCsala, B., Ferentzi, E., Tihanyi, B. T., Drew, R., & Köteles, F. G. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01375 · Cited by 20
“…recommended by many authors, as it is able to overcome the often-mentioned limitations of the frequentist approach (e.g., Type 1 and 2 errors) and can give a more direct answer to research questions than the classic (aka frequentist) analysis (Dienes, 2011; Kline, 2013; Jarosz and Wiley, 2014).”
BackgroundThe Reading Signatures of Agreement Attraction
Lago, S., Fariña, C. A., & Meseguer, E. (2021) · Open Mind · doi:10.1162/opmi_a_00047 · Cited by 17
Variability of Bayes Factor estimates in Bayesian Analysis of Variance
Pfister, R. (2021) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.17.1.p040 · Cited by 21
“Statisticians and methodologists of Bayesian conviction have often argued against the use of p-values and classical null-hypothesis significance testing (NHST) in recent years (w07; e.g., Dienes, 2011; Krueger, 2001).”
A Bayesian perspective on severity: risky predictions and specific hypotheses
van Dongen, N. N. N., Sprenger, J., & Wagenmakers, E. (2022) · Psychonomic Bulletin & Review · doi:10.3758/s13423-022-02069-1 · Cited by 23
“In experimental psychology, demonstrations of the benefit of informed/specific Bayes factor hypothesis tests includes Vohs et al. (in press), Gronau et al. (2017), Ly et al. (2019) and in particular the work of Zoltan Dienes (e.g., Dienes, 2008; 2011; 2014; 2016; 2019).”
Parris, B. A., Dienes, Z. P., Bate, S., & Gothard, S. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst063 · Cited by 20
“To determine whether there was evidence for no effect of the suggestion, we used a Bayes factor (Dienes, 2008, 2011), where we contrasted the theory that the suggestion had some effect with the null hypothesis that the suggestion had no effect.”
Self-citationThinking outside of the box: Transfer of shape-based reorientation across the boundary of an arena
Buckley, M. G., Smith, A. D., & Haselgrove, M. (2016) · Cognitive Psychology · doi:10.1016/j.cogpsych.2016.04.001 · Cited by 20
“It is important, however, to determine whether this non-significant result supports the null hypothesis (that there was no difference in time spent in each zone), or supports no conclusion at all (Dienes, 2011).”
Schmalz, X., Robidoux, S., Castles, A. E., Coltheart, M., & Marinus, E. (2017) · Collabra Psychology · doi:10.1525/collabra.72 · Cited by 22
“In contrast to LMEs, the Bayesian approach is immune to multiple comparison problems (Dienes, 2011).”
ResultTreatment for Adult Sex Offenders
Rice, M. E., & Harris, G. T. (2013) · doi:10.1002/9781118314876.ch13 · Cited by 20
Shi, D., Song, H., DiStefano, C., Maydeu-Olivares, A., McDaniel, H. L., & Jiang, Z. (2019) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1514484 · Cited by 19
“This ratio compares and quantifies the evidence in favor of or against the null model (Dienes, 2011; Kruschke, 2011).”
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Palfi, B., Moga, G., Lush, P., Scott, R. B., & Dienes, Z. (2020) · Psychological Research · doi:10.1007/s00426-019-01162-w · Cited by 31
“In our analyses, we solely employed estimation procedures instead of testing the existence of differences with an inferential statistical tool such as the null-hypothesis significance test (Fisher, 1925; Neyman & Pearson, 1933) or the Bayes factor (e.g. Dienes, 2011; Rouder et al., 2009).”
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Yoo, Y. J., Hwang, J., & Yang, H. K. (2021) · Scientific Reports · doi:10.1038/s41598-021-89148-w · Cited by 19
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Syrjänen, E., Liuzza, M. T., Fischer, H., & Olofsson, J. (2017) · Perception · doi:10.1177/0301006617720831 · Cited by 19
“We used a Bayes Factor (BF) hypothesis-testing approach (Dienes, 2011) and conducted a Sequential Bayes Factor design, as proposed by Schonbrodt, Wagenmakers, Zehetleitner, and Perugini (2015).”
MethodNera, K., Pantazi, M., & Klein, O. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00684 · Cited by 20
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Ullrich, J., Krueger, J. I., Brod, A., & Groschupf, F. (2013) · Journal of Personality and Social Psychology · doi:10.1037/a0033183 · Cited by 19
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Milton, F., Bealing, P., Carpenter, K. L., Benattayallah, A., & Wills, A. J. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01024 · Cited by 19
Rattel, J. A., Miedl, S. F., Liedlgruber, M., Blechert, J., Seidl, E., & Wilhelm, F. H. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103761 · Cited by 18
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Dienes, Z. P., Baddeley, R., & Jansari, A. S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033400 · Cited by 18
“A Bayes factor is useful for indicating continuous degrees of support for a hypothesis and hence when a null result counts against a theory that predicts a difference or doesn’t count one way or the other (see [49,50]).”
BackgroundSelf-citationStudents Wearing Police Uniforms Exhibit Biased Attention toward Individuals Wearing Hoodies
Civile, C., & Obhi, S. S. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00062 · Cited by 20
“Additionally, in Experiment 3 we computed the Bayes factors (Dienes, 2011) to investigate further the level of confidence for the effects found.”
MethodHow Much Does Effortful Thinking Underlie Observers’ Reactions to Victimization?
Harvey, A. J., Callan, M. J., & Matthews, W. J. (2014) · Social Justice Research · doi:10.1007/s11211-014-0209-3 · Cited by 20
“In particular, some researchers have advocated the use of Bayes factors (e.g., Dienes, 2011; Rouder et al., 2009; Wagenmakers, Lodewyckx, Kuriyal, & Grasman, 2010; see Kruschke, 2011, for an alternative Bayesian approach).”
MethodMackintosh lecture—: Association and cognition: Two processes, one system
McLaren, I. P. L., McAndrew, A., Angerer, K., McLaren, R., Forrest, C., Bowditch, W. A., Monsell, S., & Verbruggen, F. (2018) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021818766287 · Cited by 23
Caveats in science-based news stories communicate caution without lowering interest.
Bott, L. A., Bratton, L., Diaconu, B., Adams, R. C., Challenger, A., Boivin, J., Williams, A., & Sumner, P. (2019) · Journal of Experimental Psychology Applied · doi:10.1037/xap0000232 · Cited by 19
Bayes and Base Rates: What Is an Informative Prior for Actuarial Violence Risk Assessment?
Harris, G. T., & Rice, M. E. (2013) · Behavioral Sciences & the Law · doi:10.1002/bsl.2048 · Cited by 19
“Thus, we 1 The logical correctness of Bayesian inference aside (Dienes, 2011), much of reality seems to be robust to the use of “irrational” frequentist tools, akin to the “robust beauty of improper linear models” (Dawes, 1979).”
Fu, Q., Liu, Y., Dienes, Z. P., Wu, J., Chen, W., & Fu, X. (2016) · Consciousness and Cognition · doi:10.1016/j.concog.2016.06.008 · Cited by 16
“To interpret the latter non-significant results, Bayes factors were used (Dienes, 2011).”
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Civile, C., Obhi, S. S., & McLaren, I. P. L. (2018) · Vision Research · doi:10.1016/j.visres.2018.02.010 · Cited by 18
Situational sources of rule-breaking acts
Chrysoulakis, A. (2022) · doi:10.24834/isbn.9789178772797 · Cited by 18
The Time-Course of Food Representation in the Human Brain
Moerel, D., Psihoyos, J., & Carlson, T. A. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1101-23.2024 · Cited by 27
Magnitude-based inference and its application in user research
van Schaik, P., & Weston, M. (2016) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2016.01.002 · Cited by 17
“Even though the use of NHST is common in user research and elsewhere, several limitations of have been noted in the behavioural-research literature, with cogent calls for abandoning NHST altogether (e.g., Cohen, 1994; Cumming, 2014; Dienes, 2011; Rozeboom, 1997).”
BackgroundMethodInfluentialThe Testing Effect and Far Transfer: The Role of Exposure to Key Information
van Eersel, G. G., Verkoeijen, P. P. J. L., Povilenaite, M., & Rikers, R. M. J. P. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01977 · Cited by 20
“We also performed a Bayesian Repeated Measures ANOVA (Rouder et al., 2012, 2016) in the software program JASP (Love et al., 2015; Wagenmakers et al., 2016) with a default uniform distribution of prior model probabilities (for arguments for the Bayesian approach, e.g., Dienes, 2011).”
MethodAging Modulates Prefrontal Plasticity Induced by Executive Control Training
Najberg, H., Wachtl, L., Anziano, M., Mouthon, M., & Spierer, L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa259 · Cited by 18
“…of the data supporting an absence of interaction (H0) is computed by dividing the BF of the interaction model against the BF of the full model without interaction, resulting in a BF01, where BF01 > 3 (i.e., H0 three times more likely than H1) is set as the significant threshold (Dienes 2011).”
The role of contingency and correlation in the Stroop task
Hasshim, N., & Parris, B. A. (2021) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218211032548 · Cited by 18
“To complement the frequentist t-test comparison, a BF was calculated with the Dienes BF calculator (Dienes, 2011, 2014), with the prior distribution defined as a half-normal distribution with a maximum probability at 0 ms and standard deviation of 23 ms.”
MethodDirect Verbal Suggestibility as a Predictor of Placebo Hypoalgesia Responsiveness
Parsons, R. D., Bergmann, S., Wiech, K., & Terhune, D. B. (2021) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000977 · Cited by 18
“0 as providing substantial evidence in favor of the null and alternative hypotheses, respectively, and in-between values as reflecting insensitive evidence (40,41).”
BackgroundMethodOn the cognitive mechanisms supporting prosocial disobedience in a post-genocidal context
Caspar, É. A., Gishoma, D., & da Gama, P. A. M. D. S. (2022) · Scientific Reports · doi:10.1038/s41598-022-26460-z · Cited by 20
Lifespan developmental invariance in memory consolidation: evidence from procedural memory
Tóth-Fáber, E., Németh, D., & Janacsek, K. (2023) · PNAS Nexus · doi:10.1093/pnasnexus/pgad037 · Cited by 20
Roth, M. J., Lindner, A., Hesse, K., Wildgruber, D., Wong, H. Y., & Buehner, M. J. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2214327120 · Cited by 18
“Following the recommendations by Dienes (56), we modeled the prediction for the hypothesis that there is temporal binding as a two-tailed normal distribution with a mean of 33 ms and a SD of half the mean.”
Seeking the Holy Grail in Organizational Science: Uncovering Causality through Research Design
Hanges, P. J., & Wang, M. (2012) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199928309.013.0003 · Cited by 17
Visual Perceptual Echo Reflects Learning of Regularities in Rapid Luminance Sequences
Chang, A. Y.-C., Schwartzman, D. J., Rufin Vanrullen, A., Ryota Kanai, C., & Seth, A. K. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3714-16.2017 · Cited by 16
“We found BF 0.29 ( 0.33), which strongly supports the null (i.e., no difference) over the alternative hypothesis (Dienes, 2011).”
BackgroundResultInfluentialAutomaticity and cognitive control: Effects of cognitive load on cue-controlled reward choice
Seabrooke, T., Wills, A. J., Hogarth, L., & Mitchell, C. J. (2018) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021818797052 · Cited by 17
“Bayes factors between one third and three suggest that the data are insensitive to distinguish the theories (Dienes, 2011).”
Automatic imitation does not predict levels of prosocial behaviour in a modified dictator game
Galang, C. M., & Obhi, S. S. (2020) · Acta Psychologica · doi:10.1016/j.actpsy.2020.103022 · Cited by 16
“…ratio 456 between the probability of the alternative hypothesis, given the observed data, and the probability 457 of the null hypothesis, given the observed data, then a BF can tell us how probable the null 458 hypothesis is relative to the alternative (and vice versa; e.g., Dienes, 2011; 2014).”
BackgroundInfluentialRight-lateralized fronto-parietal network and phasic alertness in healthy aging
Haupt, M., Ruiz‐Rizzo, A. L., Sorg, C., & Finke, K. (2020) · Scientific Reports · doi:10.1038/s41598-020-61844-z · Cited by 17
Do Incidental Environmental Anchors Bias Consumers’ Price Estimations?
Shanks, D. R., Barbieri-Hermitte, P., & Vadillo, M. A. (2020) · Collabra Psychology · doi:10.1525/collabra.310 · Cited by 24
Derks, K., de swart, J., Batenburg, P. C. V., Wagenmakers, E., & Wetzels, R. (2021) · International Journal of Auditing · doi:10.1111/ijau.12240 · Cited by 17
Cohen, M. A., Rhee, J. Y., & Alvarez, G. A. (2015) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000108 · Cited by 17
“31), which supports our acceptance of the null hypothesis (Dienes, 2011).”
ResultSyntactic processing in the absence of awareness and semantics.
Hung, S., & Hsieh, P. (2015) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000094 · Cited by 17
Status and Power Do Not Modulate Automatic Imitation of Intransitive Hand Movements
Farmer, H., Carr, E. W., Svartdal, M., Winkielman, P., & Hamilton, A. F. D. C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151835 · Cited by 17
“In recent years, this weakness has led to an interest in the use of Bayesian hypothesis testing as an alternative method to assess the validity of the null hypothesis [75,76].”
MethodFeature singletons attract spatial attention independently of feature priming
Yashar, A., White, A. L., Fang, W., & Carrasco, M. (2017) · Journal of Vision · doi:10.1167/17.9.7 · Cited by 18
“In each case, the probability of the alternative hypothesis is much smaller than what is typically considered even a weak effect: A value of pBIC(H1jD) between 0.5 and 0.75 is considered a weak effect (Raftery, 1999; Dienes, 2011).”
BackgroundInfluentialHerath, H. S. B., & Herath, T. C. (2018) · Journal of Accounting and Public Policy · doi:10.1016/j.jaccpubpol.2018.10.005 · Cited by 17
The developmental neural substrates of Hebb repetition learning and their link with reading ability
Attout, L., Magro, L. O., Szmalec, A., & Majerus, S. (2020) · Human Brain Mapping · doi:10.1002/hbm.25099 · Cited by 18
“Relative to frequentist statistics, the Bayesian approach has the advantage of relying on a model comparison rationale including the null model, thus allowing to quantify the strength of evidence associated with as well as against each model (Dienes, 2011; Morey & Rouder, 2011; Wagenmakers, 2007).”
MethodBayes Factor Design Analysis: Planning for Compelling EvidencePreprint
Schhnbrodt, F. D., & Wagenmakers, E. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2722435 · Cited by 19
The replication crisis has led to positive structural, procedural, and community changesPreprint
Korbmacher, M., Azevedo, F., Pennington, C. R., Hartmann, H., Pownall, M., Schmidt, K., Elsherif, M. M., Breznau, N., Robertson, O. M., Kalandadze, T., et al. (2023) · MetArXiv (OSF Preprints) · doi:10.31222/osf.io/r6cvx · Cited by 18
Krüger, A., Tünnermann, J., Stratmann, L., Briese, L., Dressler, F., & Scharlau, I. (2021) · Open Psychology · doi:10.1515/psych-2021-0001 · Cited by 18
“Because the outcome of Bayesian parameter estimation does not depend on sampling intentions or stopping rules (Dienes, 2011), we made use of the opportunity to further increase precision of parameter estimation and included these participants in the experiments and analyses.”
MethodHigher emotional awareness is associated with greater domain-general reflective tendencies
Smith, R. S., Persich, M. R., Lane, R. D., & Killgore, W. D. S. (2022) · Scientific Reports · doi:10.1038/s41598-022-07141-3 · Cited by 21
Phasic alertness cues modulate visual processing speed in healthy aging
Haupt, M., Sorg, C., Napiórkowski, N., & Finke, K. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.05.034 · Cited by 17
Garnett, C. V., Michie, S., West, R., & Brown, J. (2019) · F1000Research · doi:10.12688/f1000research.17952.1 · Cited by 15
Associativité, symbolisation et entropie : propositions théoriques et cliniques
Rabeyron, T. (2015) · Annales Médico-psychologiques revue psychiatrique · doi:10.1016/j.amp.2015.02.009 · Cited by 20
“Ce modèle est de plus en plus utilisé dans le champ de la psychologie empirique [12].”
BackgroundKrypotos, A., Klugkist, I. G., & Engelhard, I. M. (2017) · European Journal of Psychotraumatology · doi:10.1080/20008198.2017.1314782 · Cited by 17
“Since an extended discussion of Bayesian inference is beyond the scope of this article, we point interested readers to the work by Dienes (2011), Hoijtink (2013), and Rouder et al. (2009).”
BackgroundFailures to replicate blocking are surprising and informative—Reply to Soto (2018).
Maes, E., Krypotos, A., Boddez, Y., Alfei, J. M., D’Hooge, R., Houwer, J. D., & Beckers, T. (2018) · Journal of Experimental Psychology General · doi:10.1037/xge0000413 · Cited by 19
“Given that it is about relative evidence, a BF of about 1 does not bear any evidence in favor of either one of the hypotheses (e.g., Dienes, 2011; Gallistel, 2009; Rouder, Speckman, Sun, Morey, & Iverson, 2009).”
Metacognition for strategy selection during arithmetic problem-solving in young and older adults
Geurten, M., & Lemaire, P. (2018) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2018.1464114 · Cited by 17
“For this reason, with Bayes factors, one does not have to worry about corrections for multiple testings (see Dienes, 2011).”
BackgroundPolspoel, B., Vandermosten, M., & Smedt, B. D. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1770-6 · Cited by 16
“These statistics are also not affected by the multiple comparison problem (Dienes 2011).”
BackgroundInsights into Criteria for Statistical Significance from Signal Detection Analysis
Witt, J. K. (2019) · Meta-Psychology · doi:10.15626/mp.2018.871 · Cited by 17
“An alternative to p values is to use Bayes factors (e.g., Dienes, 2011; Kass & Raftery, 1995; Kruschke, 2013; Lee & Wagenmakers, 2005; Rouder, Speckman, Sun, Morey, & Iverson, 2009).”
MethodPolspoel, B., Vandermosten, M., & Smedt, B. D. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107293 · Cited by 16
“However, Bayesian statistics are affected less by this multiple comparison problem (Dienes, 2011), and still point towards substantial evidence for an association between arithmetic and the volume of the right fusiform gyrus.”
BackgroundPerski, O., Herbeć, A., Shahab, L., & Brown, J. (2020) · JMIR mhealth and uhealth · doi:10.2196/19494 · Cited by 16
“Second, SAs were conducted to examine whether observed nonsignificant associations for the primary analysis could best be characterized as evidence of no effect or whether the data were insensitive to distinguish the null from the alternative hypothesis [18].”
BackgroundHow to Choose between Different Bayesian Posterior Indices for Hypothesis Testing in Practice
Kelter, R. (2021) · Multivariate Behavioral Research · doi:10.1080/00273171.2021.1967716 · Cited by 19
“the reliability of hypothesis tests in experimental psychology (Dienes, 2011; 2014; Wagenmakers et al., 2010).”
BackgroundTsikandilakis, M., Leong, M. Q., Yu, Z., Paterakis, G., Bali, P., Derrfuß, J., Mével, P.-A., Milbank, A. G., Tong, E. M. W., Madan, C. R., et al. (2021) · Psychological Research · doi:10.1007/s00426-020-01461-7 · Cited by 18
Peer Victimization and School Safety: The Role of Coping Effectiveness
Harper, C. R., Parris, L. N., Henrich, C. C., Varjas, K., & Meyers, J. P. (2012) · Journal of School Violence · doi:10.1080/15388220.2012.706876 · Cited by 23
“To further extend past research, this study used a Bayesian analytic approach, which relies more upon model fit indices and effect sizes in determining model adequacy, rather than arbitrary significance tests and untenable assumptions (Dienes, 2011; Wagenmakers, 2007).”
MethodProbing the influence of unconscious fear-conditioned visual stimuli on eye movements
Madipakkam, A. R., Rothkirch, M., Wilbertz, G., & Sterzer, P. (2016) · Consciousness and Cognition · doi:10.1016/j.concog.2016.09.016 · Cited by 16
“Since a non-significant t-test cannot provide unequivocal evidence in favour of the null hypothesis, we additionally performed a Bayesian analysis (Dienes, 2011; Sterzer et al., 2014) using the statistical software JASP 0.7.5.5.”
InfluentialKopiske, K. K., Löwenkamp, C., Eloka, O., Schiller, F., Kao, C.-S., Wu, C., Gao, X., & Franz, V. H. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163897 · Cited by 15
The Neural Representation of Ordinal Information: Domain-Specific or Domain-General?
Attout, L., Leroy, N., & Majerus, S. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab279 · Cited by 17
Tarailis, P., Blasio, F. M. D., Šimkutė, D., & Griškova-Bulanova, I. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12060896 · Cited by 15
Metadata
- Authors
- Dienes, Z.
- Affiliations
- University of Sussex (GB)
- Corresponding author
- Dienes, Zoltan
- ORCID
- Dienes, Zoltan
- Venue
- Perspectives on Psychological Science
- Publisher
- SAGE Publications
- Published
- 2011-05
- Volume
- 6
- Issue
- 3
- Pages
- 274-290
- ISSN
- 1745-6916 (ISSN-L)
- 1745-6924
- OpenAlex
- W2055754299
- Cited by
- 938
- References
- 60
- Citations by year
- 2026: 25 · 2025: 35 · 2024: 39 · 2023: 46 · 2022: 64 · 2021: 99 · 2020: 87 · 2019: 84 · 2018: 98 · 2017: 82 · 2016: 76 · 2015: 68 · 2014: 48 · 2013: 42 · 2012: 33
- FWCI
- 6.30
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Locations
- Perspectives on Psychological Science (publishedVersion)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- Bayesian inference, significance testing, null hypothesis significance testing, multiple comparisons, stopping rules
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